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Record W2944212011 · doi:10.5287/ora-g7gq1xjmz

Evaluating India's possession of nuclear weapons: a study of India's legitimation strategies and the international responses between 1998-2008

2016· dissertation· en· W2944212011 on OpenAlexaboutno aff
Deepshikha Kumari

Bibliographic record

VenueOxford University Research Archive (ORA) (University of Oxford) · 2016
Typedissertation
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsnot available
Fundersnot available
KeywordsLegitimationLegitimacyPossession (linguistics)Political scienceConceptualizationNuclear weaponArgument (complex analysis)PoliticsLaw and economicsPolitical economyLawSociology

Abstract

fetched live from OpenAlex

The scope of the thesis is to study India's nuclear behavior and the international responses in the period following India's nuclear weapons tests in 1998 leading up to the waiver for India by the nuclear suppliers group in 2008. The thesis explores this process of nuclear reconciliation in the context of a quest for international nuclear legitimacy. Nuclear legitimation is understood as a two-sided process and the explanation assumes two sides to the story: the Indian side and the audience side. Grounding the conceptualization within a theoretical framework of constructivism, the thesis explores the legitimation strategies employed by the Indian government to assuage international apprehensions about its possession of nuclear weapons. Additionally, the thesis analyzes how and why selected states in the international audience received and responded to India's strategies. In doing so, the thesis acknowledges but goes beyond an apparent power and interest explanation underlined by geo-political/security considerations and economic/trade interests –to include an analysis of shared norms and beliefs that constituted a basis for legitimacy judgments, circumscribed the interaction between India and other states, induced certain responses on the audience side and made possible certain claims on the Indian side. The principal argument is that normative evaluations and ideational factors served as important resources on both sides and also played an important role in determining the timing as well as the nature of nuclear reconciliation with India. By allowing a strategic employment of different arguments that appealed to the different states in the targeted audience, a legitimation process reduced the political, economic and diplomatic costs for the Indian government. Similarly, it enabled other states in the audience to support (as the P3: France, Russia and United Kingdom did), not come in the way (as the game-changers: Australia, Canada, Germany and Japan did) or not block India-specific waiver (as the white knights: Ireland, Austria, Norway, New Zealand, Sweden and Switzerland did)— and to justify their responses, cost-effectively.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.004
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.367
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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